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14 дней назад

Staff Data Product Manager

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Data Product Manager (Enterprise Data Platforms): Shaping enterprise data strategy and building trusted, reusable data products for self-service analytics, reporting, operational insight, and AI with an accent on stakeholder discovery, product prioritization, and data governance. Focus on defining semantic models and tables, guiding engineering through delivery, and measuring adoption and business outcomes across a scalable cloud data platform.

Location: Brownsville, Green Bay, Madison, Milwaukee, or Neenah, Wisconsin, at a corporate office

Company

hirify.global is a family-owned infrastructure and heavy construction company with approximately 10,000 employees and 18,000 pieces of heavy equipment.

What you will do

  • Shape the enterprise data strategy and help establish the Enterprise Intelligence data platform.
  • Engage business and technology stakeholders to identify pain points, needs, and high-value data opportunities.
  • Define, prioritize, and manage curated data products, including tables and semantic models across business domains.
  • Translate business needs into user stories and acceptance criteria, guiding engineering through development, testing, and delivery.
  • Maintain standards for documentation, data quality, consistency, and dependable self-service consumption.
  • Measure product adoption and outcomes to validate value and guide future investments.

Requirements

  • Bachelor’s degree in business, technology, engineering, computer science, a quantitative field, or equivalent practical experience.
  • At least 7 years of experience in data product management and cross-functional delivery on a scalable cloud data platform.
  • Experience defining product roadmaps, requirements, user stories, success metrics, and full product lifecycles from discovery through adoption.
  • Strong understanding of data governance, metadata, data quality, data lineage, and trusted enterprise data assets.
  • Exposure to cloud data platforms such as Snowflake, Databricks, Microsoft Fabric, BigQuery, or similar technologies.

Culture & Benefits

  • Training investment averaging $5,000 per employee each year.
  • Comprehensive benefits may include health, dental, life, flexible spending and health savings accounts, disability insurance, and a 401(k) plan.
  • Additional benefits include a legal plan and identity theft and monitoring plan.
  • Safety, quality, collaboration, and effective communication are emphasized across the organization.

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